Multi-GPU Research Rig
Four-GPU research box for larger context experiments, distributed inference, and model comparison workloads.
Why this build: Built for research-heavy teams that need multiple GPUs in one node for side-by-side model testing and distributed inference patterns.
Best for:
- Applied AI research groups
- Inference benchmarking and model comparison pipelines
- Teams testing long-context and multi-model orchestration
Performance:
- Four-GPU topology enables concurrent model serving and evaluation
- High aggregate VRAM capacity supports larger contexts and bigger checkpoints
- Strong local throughput for synthetic data generation and batch inference
Upgrade path: Add high-speed networking and scale to a small cluster for multi-node experiments and distributed training.
GPU Configuration: 4 × RTX PRO 6000 Blackwell Workstation Edition
CPU: 1 × Threadripper PRO 7995WX
Use Case: Model evaluation pipelines, multi-GPU training prototypes, and synthetic data generation.
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